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21722 Lifetime Improvement by Battery Scheduling
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Jongerden, M.R. and Haverkort, B.R.H.M. (2012) Lifetime Improvement by Battery Scheduling. In: Proceedings of the 16th International GI/ITG Conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolarance, MMB & DFT 2012, 19-21 Mar 2012, Kaiserslautern, Germany. pp. 106-120. Lecture Notes in Computer Science 7201. Springer Verlag. ISSN 0302-9743 ISBN 978-3-642-28539-4

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Official URL: http://dx.doi.org/10.1007/978-3-642-28540-0_8

Abstract

The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic
Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity.
Our results show that for realistic loads one can achieve up to 20% improvements in system lifetime by applying battery scheduling.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems
Research Program:CTIT-DSN: Dependable Systems and Networks
Research Project:GEODES: Global Energy Optimization for Distributed Embedded Systems
ID Code:21722
Status:Published
Deposited On:18 April 2012
Refereed:Yes
International:Yes
More Information:statistics

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